[alife] CfP: Special Session on Scalable Evolutionary Logistic Planning

[Thomas Weise]

--------------------------- Call for Papers ----------------------------
--- SELP: Special Session on Scalable Evolutionary Logistic Planning ---
----------------- @ CIPLS, April 15-19, 2013, Singapore ----------------

part of the 2013 IEEE Symposium on Computational Intelligence in
            Production and Logistics Systems (CIPLS 2013), which is
part of the 2013 IEEE Symposium Series on Computational Intelligence
            (IEEE SSCI 2013)

http://www.it-weise.de/documents/files/selp13/index.html


Brief Description:

SELP, the Special Session on Scalable Evolutionary Logistic Planning
of the 2013 IEEE Symposium on Computational Intelligence in Production
and Logistics Systems (CIPLS 2013), part of the 2013 IEEE Symposium
Series on Computational Intelligence (IEEE SSCI 2013), invites the
submission of original and unpublished research papers.

Logistics comprises all management, scheduling, and routing governing
the transportation of objects or resources from one point to another.
In a modern economy, it is one of the most important services for
business, the industry, and the public alike. Vehicles such as trucks,
trains, ships, airplanes, and even bikes together transport billions
of tons of parcel. Improving the efficiency of logistics is therefore
a major concern, both from economical as well as environmental
aspects. Many of the optimization problems arising in this area are
NP-hard and therefore often intractable for exact solution approaches.
Here, Computational Intelligence techniques have proven to be powerful
alternatives. Today, especially large-scale logistic planning
problems, involving many vehicles or logistic tasks, move into the
focus of research. The high runtime requirement for solving them
demands for new approaches to improve the scalability of evolutionary
optimization methods.

This special session will provide a common forum to exchange ideas and
findings for researchers and practitioners who are interested in
solving large-scale logistic planning problems with Evolutionary
Algorithms, Swarm Intelligence methods, and CI approaches in general.
All accepted papers in this session will be included in the
Proceedings of the IEEE CIPLS 2013 published by IEEE Press and indexed
by EI. Extended versions of selected papers will be further considered
for publication in reputable journals.


Topics of Interest:

The main theme of SELP is solving large-scale logistics and
transportation problems with Evolutionary Algorithms. The topics of
interest therefore include, but are not limited to _combinations_ of:

o Scaling Approaches:
   - Special algorithm designs
   - Memetic and Hybridization methods
   - Developmental Genotype-Phenotype Mappings
   - Self-Organization Approaches
   - Parallelization
   - Distribution
   - Cooperative Coevolution
   - Evolutionary Algorithms in the Cloud
   - Generative Genotype-Phenotype Mappings
   - Multi-Agent Systems

o Logistic Planning Problems:
   - Travelling Salesman Problems (TSPs)
   - Arc Routing Problems (ARPs)
   - Vehicle Routing Problems (VRP)
   - Real-World Problems and Applications
   - Packing Problems in relationship with Logistics and Transportation
   - Scheduling for Transportation
   - Robotics or Team-based Logistics
   - Environmental Aspects of Logistics and Transportation
   - Multi-Location Inventory Systems
   - Intra-Warehouse Logistics
   - Rules or Neural Networks for Self-Organized Transportation

o Algorithms (in conjunction with the above):
   - Evolutionary Algorithms (EAs) such as Genetic Algorithms (GAs),
     Genetic Programming (GP), Evolution Strategies (ES), and
     Evolutionary Programming (EP)
   - Memetic Algorithms (MAs) and hybrid EAs
   - Differential Evolution (DE)
   - Estimation of Distribution Algorithms (EDAs)
   - Particle Swarm Optimization (PSO)
   - Ant Colony Optimization (ACO)
   - Related Metaheuristics
   - Other Computational Intelligence (CI) approaches


Instructions for Authors:

Prospective authors are invited to submit papers of no more than eight
pages in IEEE double-column conference style, including results,
figures and references, with a maximum file size of 4MB, in PDF
format. More information regarding the submission process can be found
at the conference website
http://www.ntu.edu.sg/home/epnsugan/index_files/SSCI2013/index.html.

The papers are to be submitted via the official conference website
submission form where "Special Session on Scalable Evolutionary
Logistic Planning" should be selected as FIRST research topic. (CIPLS
will be #21 in the list of topics and our Special Session will appear
just below it.)

Paper Submission Deadline    :    10 October  2012
Notification of Acceptance   :    05 January  2013
Camera-Ready Copy Due        :    05 February 2013
Early Registration           :    05 February 2013
Conference Presentation      : 15-19 April    2013

For more information please contact Thomas Weise at tweise at ustc.edu.cn.

Session Chairs:
 - Thomas Weise, University of Science and Technology of China, Hefei, China
 - Joerg Laessig, University of Applied Sciences Zittau/Goerlitz, Germany
 - Alexandre Devert, University of Science and Technology of China, Suzhou, China
 - Yi Mei, Chinese University of Hong Kong, Hong Kong, China

International Program Committee:
 - Wenxiang Chen, Colorado State University, USA
 - Alexandre Devert, University of Science and Technology of China, China
 - Christian Hochmuth, Bosch Rexroth, The Drive & Control Company, Germany
 - Oliver Kramer, Carl von Ossietzky University Oldenburg, Germany
 - Joerg Laessig, University of Applied Sciences Zittau/Goerlitz, Germany
 - Rui Li, Universiteit Leiden, The Netherlands
 - Yi Mei, Chinese University of Hong Kong, China
 - Marie-Ange Manier, University of Technology of Belfort Montbeliard, France
 - Stefan Niemczyk, University of Kassel, Germany
 - Yangjin Ou, University of Science and Technology of China, China
 - Jose Antonio Pascual, University of the Basque Country, Spain
 - A.K. Qin, INRIA Grenoble Rhone-Alpes, France
 - Ehsan Shafiee, North Carolina State University, USA
 - Mingxu Wan, Giant Interactive Group, Inc., China
 - Markus Wagner, University of Adelaide, Australia
 - Thomas Weise, University of Science and Technology of China, China
 - Lining Xing, National University of Defense Technology, China
 - Zhenyu Yang, National University of Defense Technology, China


Hosting Events:

2013 IEEE Symposium Series on Computational Intelligence
IEEE SSCI 2013

 The SSCI is one of the two flagship biennial international meetings
 sponsored by the IEEE Computational Intelligence Society promoting
 all aspects of computational intelligence. The IEEE SSCI 2013 co-
 locates several technical meetings at one location. This event
 attracts top researchers, professionals, and students from around the
 world. Regular registration includes attendance of any session of any
 technical meeting, complete set of the proceedings of all meetings,
 lunches, coffee breaks and the banquet. The IEEE SSCI meeting
 features a large number of keynote, tutorial, panel and special
 sessions all of which are open to all participants.

 Each meeting will consider awarding best student paper and best
 overall paper awards. The IEEE SSCI 2013 will also offer a number of
 travel grants for students and travel grants for researchers from
 developing countries. The conference proceedings of the IEEE SSCI
 have always been included in the IEEE Xplore and indexed by all other
 important databases.


2013 IEEE Symposium on
Computational Intelligence in Production and Logistics Systems
CIPLS 2013

 The management of production and logistics systems in today's fierce
 competition environment is a difficult task and has become
 progressively complex. Major changes in products, processes,
 technologies, and societies bring along remarkable challenges and
 increasing market demands. Modelling and optimisation of the complex
 problems arising in production and logistics systems is of paramount
 importance in surviving and achieving competitive gains in
 productivity and quality.

 In recent years, the advancements in computer technology have allowed
 researchers to tackle large-scale problems and to develop and
 integrate efficient optimisation techniques for solving them. Within
 this context, CIPLS aims at addressing issues related to the design,
 planning, control, and continuous improvement of production and
 logistics systems using computational intelligence, including local
 search methods, Evolutionary Algorithms and other nature-inspired
 optimisation techniques. The intention is to cover various aspects of
 production from aggregate planning to shop-floor execution systems
 and modelling, planning and control of logistics systems. Studies
 incorporating real-world applications are highly encouraged.